This paper aims to describe the main challenges to enterprise governance and proposes a hybrid approach based on business rules, constraints modelling and simulation. This approach can help to identify the high-level governance requirements and relate strategic, operational and IT governance aspects together. One of the important values of this approach is aligning governance knowledge in order...

The analysis of planning systems in terms of the different algorithms they use needs to be complemented by a study of how these systems represent and use available knowledge -in other words, of their prob/era solving methods. The goals of such knowledge.level analysis are complementary to that of algorithms: instead of finding which algorithm is the most efficient, we can find the role of each ...

This paper explores high-level scene interpretation with logic-based conceptual models. The main interest is in aggregates which describe interesting co-occurrences of physical objects and their respective views in a scene. Interpretations consist of instantiations of aggregate concepts supported by evidence from a scene. It is shown that flexible interpretation strategies are possible which ar...

The task of lexical decision demands the functioning of the phonological loop to identify and discriminate strings of sounds and lexical knowledge to identify if this string can be taken as a real word or pseudo-word. Objective To verify the effect of schooling on the performance of healthy elderly in lexical decision tasks, in the auditory modality. Methods 23 Participants, aged sixty year...

Abstract. Feature-based sentiment analysis can be realized on di↵erent types of object features. Some of these features might be about technical aspects of the objects and some others might be application-oriented features. The application-oriented features are more abstract features and can be of interest to the broad number of people than only the technical experts of specific products. In th...

Text-to-scene conversion requires knowledge about how actions and locations are expressed in language and realized in the world. To provide this knowlege, we are creating a lexical resource (VigNet) that extends FrameNet by creating a set of intermediate frames (vignettes) that bridge between the high-level semantics of FrameNet frames and a new set of low-level primitive graphical frames. Vign...

A low level of computer literacy has often been hypothesized as constituting a disadvantage in knowledge acquisition. However, within the field of computer-supported inquiry learning systematic investigations of these purported relations have not been conducted. This classroom study investigates the role of computer literacy (procedural computer-related knowledge, selfconfidence in using the co...

This study investigates the uses and gratification of the Internet among students in the Department of Mass Communication, Delta State University (DELSU) Abraka. The study became necessary following the influx of and increase in the use of the Internet in education, which portends functional as well as dysfunctional roles on students if not properly handled. Hence, the need to empirically evalu...

This paper considers an issue raised by Lehman at ISPW 9, where he stated that the software process is a ‘learning’ process. We examine the ramifications of that statement, and of the nature and impact of that learning, in the context of the process controlling the evolution of a software product over time and multiple releases. We present a high-level model of the software process which descri...

High-level semantics such as “mood” and “usage” are very useful in music retrieval and recommendation but they are normally hard to acquire. Can we predict them from a cloud of social tags? We propose a semantic identification and reasoning method: Given a music taxonomy system, we map it to an ontology’s terminology, map its finite set of terms to the ontology’s assertional axioms, and then ma...